Function Reference

A Glossary of every function covered on this site.

Import & Create

read_csv( )

Import a comma-separated file into R as a tibble.

read_excel( )

Import an Excel worksheet into R as a tibble.

seq( )

Generate numeric sequences.

tibble( )

Create a tidy table from vectors or values.

Inspect

glimpse( )

Inspect a data object by showing columns, data types, and example values.

Transform

arrange( )

Sort rows by one or more columns.

filter( )

Keep rows that match one or more logical conditions.

group_by( )

Group rows by one or more columns so dplyr verbs can work within each group.

if_else( )

Choose values row by row based on a condition.

lag( ) / lead( )

Shift a column’s values backward or forward by a chosen number of rows.

mutate( )

Add new columns or transform existing columns in a data frame.

pull( )

Pull one column out as a vector.

select( )

Keep only the columns you want.

slice( )

Keep or drop rows by position, including the top or bottom rows per group.

summarise( )

Create compact summary tables from a data frame or grouped data frame.

Model

coef( )

Extract estimated coefficients from fitted model objects.

lm( )

Fit linear regression models and extract slope, intercept, and model fit statistics.

nls( )

Fit custom non-linear models to data.

predict( )

Predict new values from a fitted model.

summary( )

Produce a compact summary of vectors, data frames, and model objects.

Visualize

ggplot( )

Create plots by mapping variables to visual aesthetics and adding layers.

Report

cat( )

Print values to the console as readable text, useful for clear labelled output.

round( )

Round numbers to a fixed number of decimal places.

signif( )

Round numbers to a chosen number of significant figures.